PPT Slide

• Prediction

  • Propagate the state vector x from detector k-1 to detector k using some track model.
  • The track model is implemented in the propagator F (in the linear case).
  • xk,p predicted state vector at detector k, Fk-1 matrix that propagates the track from detector k-1 to detector k.

• Filtering

  • Look for a measurement in detector k (within a cut).
  • Recalculate the state vector to include information from the new measurement: filtering.
  • xk,f filtered state vector at detector k.

• Smoothing

  • Extrapolating backwards: smoothing.
  • The reason for this step is to include all the measurement information in the calculation of the state vector at each detector layer.
  • xk,s smoothed state vector at detector k.

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